125 resultados para Buildings Lifecycle


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Building refurbishment is key to reducing the carbon footprint and improving comfort in the built environment. However, quantifying the real benefit of a facade change, which can bring advantages to owners (value), occupants (comfort) and the society (sustainability), is not a simple task. At a building physics level, the changes in kWh per m2 of heating / cooling load can be readily quantified. However, there are many subtle layers of operation and mainte-nance below these headline figures which determine how sustainable a building is in reality, such as for example quality of life factors. This paper considers the range of approached taken by a fa/e refurbishment consortium to assess refurbishment solutions for multi-storey, multi-occupancy buildings and how to critically evaluate them. Each of the applued tools spans one or more of the three building parameters of people, product and process. 'De-cision making' analytical network process and parametric building analysis tools are described and their potential impact on the building refurbishment process evaluated.

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This paper provides a case study of the City of Manchester Stadium based on relevant literatures, based on a comprehensive description of multidisciplinary, cross-sectoral and future-oriented requirements and operations in the design of modern intelligent sports buildings. The successfulness of the City of Manchester Stadium gives constructive experience and knowledge for the building professions including architecture, building structure, building services, construction, and facilities management, etc. In addition, this paper is valuable for developing intelligent sports buildings in China.

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Mathematical models have been vitally important in the development of technologies in building engineering. A literature review identifies that linear models are the most widely used building simulation models. The advent of intelligent buildings has added new challenges in the application of the existing models as an intelligent building requires learning and self-adjusting capabilities based on environmental and occupants' factors. It is therefore argued that the linearity is an impropriate basis for any model of either complex building systems or occupant behaviours for control or whatever purpose. Chaos and complexity theory reflects nonlinear dynamic properties of the intelligent systems excised by occupants and environment and has been used widely in modelling various engineering, natural and social systems. It is proposed that chaos and complexity theory be applied to study intelligent buildings. This paper gives a brief description of chaos and complexity theory and presents its current positioning, recent developments in building engineering research and future potential applications to intelligent building studies, which provides a bridge between chaos and complexity theory and intelligent building research.

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Intelligent buildings should be sustainable, healthy, technologically aware, meet the needs of occupants and business, and should be flexible and adaptable to deal with change. This means the processes of design, construction, commissioning and facilities management including post occupancy evaluation are all equally important. Buildings comprise many systems devised by many people and yet the relationship between buildings and people can only work satisfactorily if there is integrated team with a holistic vision. The address will discuss some trends in the design and management of intelligent buildings for this century.